Presentation topics include Jupyter and Anaconda in the enterprise; open innovation in a data-centric world; building an Excel-Python bridge; encapsulating data science using Anaconda Project and JupyterLab; deploying Jupyter dashboards for datapoints; JupyterLab

NEW YORK, August 17, 2017—Continuum Analytics, the creator and driving force behind Anaconda, the leading Python data science platform, today announced that the team will present one keynote, three talks and two tutorials atJupyterConon August 23 and 24 in NYC, NY. The event is designed for the data science and business analyst community and offers in-depth trainings, insightful keynotes, networking events and talks exploring the Project Jupyter platform.

Peter Wang, co-founder and CTO of Continuum Analytics, will present two sessions on August 24. The first is a keynote at 9:15 am, titled “Jupyter & Anaconda: Shaking Up the Enterprise.” Peter will discuss the co-evolution of these two major players in the new open source data science ecosystem and next steps to a sustainable future. The other is a talk, “Fueling Open Innovation in a Data-Centric World,” at 11:55 am, offering Peter’s perspectives on the unique challenges of building a company that is fundamentally centered around sustainable open source innovation.

The second talk features Christine Doig, senior data scientist, product manager, and Fabio Pliger, software engineer, of Continuum Analytics, “Leveraging Jupyter to build an Excel-Python Bridge.” It will take place on August 24 at 11:05 am and Christine and Fabio will share how they created a native Microsoft Excel plug-in that provides a point-and-click interface to Python functions, enabling Excel analysts to use machine learning models, advanced interactive visualizations and distributed compute frameworks without needing to write any code. Christine will also be holding a talk on August 25 at 11:55 am on “Data Science Encapsulation and Deployment with Anaconda Project & JupyterLab.” Christine will share how Anaconda Project and JupyterLab encapsulate data science and how to deploy self-service notebooks, interactive applications, dashboards and machine learning.

James Bednar, senior solutions architect, and Philipp Rudiger, software developer, of Continuum Analytics, will give a tutorial on August 23 at 1:30 pm titled, “Deploying Interactive Jupyter Dashboards for Visualizing Hundreds of Millions of Datapoints.” This tutorial will explore an overall workflow for building interactive dashboards, visualizing billions of data points interactively in a Jupyter notebook, with graphical widgets allowing control over data selection, filtering and display options, all using only a few dozen lines of code.

The second tutorial, “JupyterLab,” will be hosted by Steven Silvester, software engineer at Continuum Analytics and Jason Grout, software developer at Bloomberg, on August 23 at 1:30 pm. They will walk through JupyterLab as a user and as an extension author, exploring its capabilities and offering a demonstration on how to create a simple extension to the environment.

About Anaconda Powered by Continuum AnalyticsAnaconda is the leading data science platform powered by Python, the fastest growing data science language with more than 30 million downloads to date. Continuum Analytics is the creator and driving force behind Anaconda, empowering leading businesses across industries worldwide with solutions to identify patterns in data, uncover key insights and transform data into a goldmine of intelligence to solve the world’s most challenging problems. Anaconda puts superpowers into the hands of people who are changing the world. Learn more atcontinuum.io.